Thanks to everyone who joined yesterday's live call. I've added the call recording below, and you can access the resources I shared here: https://docs.google.com/document/d/11XOKCWIt-vVwtOmmeKc_ccizz5jgZIQONmRuAJRx2Lk/edit?usp=sharing Please let me know if you have any questions below!

Today I want to give you the unfiltered reality of what's going on in the market. Why there are so many LLM rank trackers, some are cheap, some are expensive, and some are going to the extreme level now. Let me break it down. THE TWO TYPES OF LLM TRACKING Whenever someone says they're going to "track LLMs," there are really only two ways anyone in the world can do it: 1. API Calls: with web search enabled, or without web search 2. UI-Based (Frontend): which has two versions: logged-in session and non-logged-in session That's it. Whatever tools you hear about on the internet, they're just selecting one of these and building their infrastructure on top of it. And the cheaper tools? They're almost always making API calls. So you might ask why are API calls different from the UI-based versions? HOW LLMs ACTUALLY WORK (CORE PRINCIPLES) To understand the difference, we need to understand how LLMs work at the core. Let's say you're building an LLM from scratch. What you'd do is find a massive amount of data, push it into your model, and process it. Simplest way I can explain it, imagine you turned off your internet and hit the search button on your Windows file finder. You're just trying to find a file on your own machine. That's essentially what an LLM does with its training data. Offline data, whenever a non-web API call is made, this offline/training data is what gets triggered. Web-enabled data, whenever a web-enabled API call is made, the LLM has the capability to go search the live internet. "SEARCH THE WEB" BUT WHERE ARE THEY SEARCHING? You and I have Google or Bing to search. But for LLMs, where are they actually looking? Think of it like this imagine the entire internet is your PC, and all that data has been converted into an index. Like the index pages of a book. You look at the index, it says "if you want to learn about X, go to page 247." That's how it extends its knowledge. The LLM starts with its initial training data. Let's say it has 10 documents. Those 10 documents contain links, external references, bits of information. From those, it pulls more. Now think about the compounding effect 10 documents with 10 links each becomes 100, then 1,000, then millions, then billions of connections. An entire network gets created.

Watch the below video to learn more about the first ChatGPT ad spotted 👇

Hi everyone - welcome to the leading ChatGPT Ads Community! Quick intro: I sold a SaaS for 7 figures last year, run a multi-7-figure marketing agency, and now, I'm going all in on ChatGPT ads. This community is where I'll be sharing all the ChatGPT ads sauce I learn, so you can be future proof and win the biggest opportunity for marketers in the next decade. If you're reading this, you're here early. Congrats. My last community grew to 40,000+ users in 103 countries - this one will be MUCH bigger as I grow Ad-Intel. Please introduce yourself below, and let me know what you'd like to see here! NOTE: any spammers will be kicked immediately.

Our first live call can be accessed here: https://www.skool.com/chatgpt-ads/calendar?eid=55be6995a69041b8a30a3bbfb89b151a It'll be on Tuesday, 10th @ 5 pm - 6 pm, London time. I'll be reviewing the ChatGPT ad's launch + sharing everything we've learned working full-time in this space. In the meantime, feel free to watch my latest video on ChatGPT ads below.